Evaluation of quantitative and mining techniques for reducing software maintenance risks

Elzamly, Abdelrafe and Hussin, Burairah (2014) Evaluation of quantitative and mining techniques for reducing software maintenance risks. Applied Mathematical Sciences, 8 (-). pp. 5533-5542. ISSN 1312-885X

Text Elzamly, Hussin - 2014 - Evaluation of Quantitative and Mining Techniques for Reducing Software Maintenance Risks.pdf Download (160kB)

Abstract

Software risk is not always avoidable, but it is controllable. The aim of this paper is to present new techniques that were performed using quantitative and mining techniques to compare the risk management techniques to each of the software maintenance risks to identify and model if they are effective in mitigating the occurrence of each software maintenance risk in software development life cycle. The model’s accuracy slightly improves in fuzzy multiple regression modelling techniques than or quite equal stepwise multiple regression modelling techniques. All models in fuzzy and stepwise acceptable value for MMRE less than 0.25 and Pred (0.25) greater or than 0.75 is desirable. The study has been conducted on a group of software project management. Successful software project risk management will greatly improve the probability of project success.

Item Type:	Article
Uncontrolled Keywords:	Software maintenance project, Software risk management, Quantitative techniques, Mining techniques, MMRE, Pred (l)
Subjects:	Q Science > Q Science (General) Q Science > QA Mathematics
Divisions:	Faculty of Information and Communication Technology
Depositing User:	Muhammad Afiz Ahmad
Date Deposited:	20 Sep 2017 08:39
Last Modified:	07 Jul 2023 16:48
URI:	http://eprints.utem.edu.my/id/eprint/19227
Statistic Details:	View Download Statistic

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